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arXiv · 2506.15471

Automatic computation of the glycemic index: data driven analysis of the glucose standard

Fabio Credali·Maria Teresa Venuti·Daniele Boffi·Paola Rossi
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Abstract

The Glycemic Index (GI) is a tool for classifying carbohydrates based on their impact on postprandial glycemia, useful for diabetes prevention and management. This study applies a mathematical model for a data driven simulation of the glycemic response following glucose ingestion. The analysis is performed on a dataset of 35 healthy subjects undergone a standard 50 g oral glucose test. The results reveal a direct correlation between glucose response profiles and parameters describing glucose absorption, enabling the classification of subjects into three groups based on the timing of their glycemic peak: <30 min, 30-50 min, >50 min. These findings highlight the ability of a physiology-based mathematical model to capture inter-individual variability in postprandial glucose dynamics and represent a step toward simulation-based approaches for GI estimation.

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Fabio Credali, Maria Teresa Venuti, Daniele Boffi, Paola Rossi. 2025-06-18. Automatic computation of the glycemic index: data driven analysis of the glucose standard. https://doi.org/10.1016/j.jtbi.2026.112447

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